test automation

Articles

Pytest logo Lessons Learned Switching Manual Tests to Pytest

If you want to start automating your test cases, László Szegedi makes an argument for using the popular Python and Selenium combination. Here, he gives a test script you can use after every release to find any serious regression bugs in the system, to be executed automatically. Integrate it with your existing development pipeline and you get a pretty useful tool for continuous improvement.

László Szegedi's picture László Szegedi
Person holding a map A Beginner's Guide to Test Automation

If you’re new to automated testing, you’re probably starting off with a lot of questions: How do I know which tests to automate? Why is automated testing useful for me and my team? How do I choose a tool or framework? This article answers a lot of those questions—and gives you some more to consider!—so you have an excellent foundation for beginning your automation endeavors.

Angela Riggs's picture Angela Riggs
Michael Bolton Is All Testing Exploratory? A Slack Takeover with Michael Bolton

Thought leaders from the software community are taking over the TechWell Hub for a day to answer questions and engage in conversations. Michael Bolton, a speaker and thought leader in the testing industry, hosted this Slack takeover, which led to discussions about test exploration, tools, and testers as gatekeepers.

Owen Gotimer's picture Owen Gotimer
Graphic of test automation tools The TERMS for Test Automation Risk or Success

Automation is a service to testing—a tool that may prove to be useful or turn wasteful. When approaching test automation, there are five main areas to focus on, expressed in the acronym TERMS: Tools and Technology, Execution, Requirements, Maintenance, and Security. Here are some examples of how these factors are involved in defining automation success or failures.

Albert Gareev's picture Albert Gareev
Power button Simplify Continuous Operation Tests with a Periodic Reboot

Continuous operation tests find important bugs, partly as a result of their long operation and partly by increasing the probability of finding statistical bugs. However, CO tests have their own downsides. Mandating a periodic reset or reboot can work around these issues, as well as save time and cost for testing, reproduction, debugging, and fix verification.

Michael Stahl's picture Michael Stahl
Test documentation Tests as Documentation

It’s important that test authors keep in mind the inherent authority their tests possess. After all, an application’s tests are sometimes the first lines of code a new developer will read when acclimating to a new codebase. Tests aren't the only kind of documentation you need, but automated tests in a CI environment can provide a lot of useful information.

Nelson Nogales's picture Nelson Nogales
Collection of random numbers When a Number Is Not a Number: Benefits of Random Test Generators

We like to hope that we will consider all possible situations when devising our tests, but it’s all too easy to overlook the unusual cases. That’s the benefit of random test generators. We might feel comfortable after testing a few dozen test cases; these tools generate hundreds. With more stuff getting tossed at the wall, there is a greater likelihood that something interesting sticks.

Steve Poling's picture Steve Poling
Brain made out of a circuit board Leveraging Machine Learning to Predict Test Coverage

Test coverage is an important metric within test management, and as technology evolves, we‘re able to leverage new trends to predict coverage. Weka, an open source suite of machine learning software, can take your test management beyond spreadsheets to the latest AI technologies, letting you predict your test coverage earlier with greater accuracy.

Bhavani Ramasubbu's picture Bhavani Ramasubbu
Group of people holding trophy that says "2018" Top 10 StickyMinds Articles of 2018

With the rise of technology like AI and practices like DevOps, teams everywhere are looking for ways to speed up testing without sacrificing quality. The articles in 2018 reflect that, with the most popular topics being shifting testing left, optimizing tests for continuous integration, and the future of software testing. If you're looking for cutting-edge testing techniques, check out this roundup.

Beth Romanik's picture Beth Romanik
Testing feedback loop 5 Key Factors to Achieve Agile Testing in DevOps

Part of the path to DevOps requires adoption of agile methodologies. What does it mean for testing when you switch from the traditional waterfall model, with a few long release cycles per year, to the agile model, with changes occurring every two weeks? Here are five key factors to achieve the agile software testing necessary in DevOps.

Denise Rigoni's picture Denise Rigoni

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